Paper Info
Title
Relation between polling and Likert-scale approaches to eliciting membership degrees clarified by quantum computing.
Abstract
In fuzzy logic, there are two main approaches to eliciting membership degrees: an approach based on polling experts, and a Likert-scale approach, in which we ask experts to indicate their degree of certainty on a scale - e.g., on a scale form 0 to 10. Both approaches are reasonable, but they often lead to different membership degrees. In this paper, we analyze the relation between these two approaches, and we show that this relation can be made much clearer if we use models from quantum computing.
Year
DOI
Venue
2013
10.1109/FUZZ-IEEE.2013.6622423
FUZZ-IEEE
Keywords
Field
DocType
polling,quantum computing,vectors,fuzzy logic,likert scale,mathematical model,physics,uncertainty
Defuzzification,Fuzzy classification,Computer science,Fuzzy logic,Quantum computer,Polling,Theoretical computer science,Artificial intelligence,Likert scale,Fuzzy number,Membership function
Conference
ISSN
ISBN
Citations 
1098-7584
978-1-4799-0020-6
2
PageRank 
References 
Authors
0.41
2
5
Name
Order
Citations
PageRank
Renata Hax Sander Reiser111010.90
Adriano Maron2162.50
Lidiane Visintin361.51
Ana Maria Abeijon420.41
Vladik Kreinovich51091281.07